Nicholas Shi

Machine Learning Engineer at Prescient AI

Nicholas Shi has a varied work experience, beginning in 2016 when they were a Co-op Materials Engineer and R&D Co-op Engineer at Kimberly-Clark. Nicholas then worked as an Electronics Teaching Assistant at the Bechtel Innovation Design Center in 2018, and the same year they began working as a Supply Chain Engineer and Process Engineer at GL Brands. In 2020, they became a Machine Learning Engineer, Junior Data Scientist, and Data Science Intern at Prescient AI.

Nicholas Shi attended Purdue University from 2013 to 2018, where they earned a Bachelor of Science degree in Biomedical Engineering.

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Fishers, United States

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Prescient AI

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Predictive automation platform based on confidence in forecasted CAC, ROAS, and other profitability-based KPIs across the DTC industry.


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11-50

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